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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

We’re equally convinced on both counts, but in this blog article, we’re focusing on why MongoDB is not open source. This blog article traces key developments that coincided with MongoDB’s move away from open source software, and it examines how SSPL influence might have lured others in the same direction.

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World’s Top Web Performance Leaders To Watch

Rigor

Jake is a developer advocate at Google working with the Chrome team to develop and promote web standards and developer tools, as well as a contributor to the Chromium blog. He keeps an updated archive of his blogs, articles, speaking engagements. You can find Barry blogging at tunetheweb.com or follow him on Twitter @ tunetheweb.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

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COVID-19 Triggered the Turning Point

Tasktop

A key pattern that is understood by the tech giants, who have mastered the Age of Software, is that of network effects and exponential growth. Following the 2007-08 financial crisis, Harvard Business School’s Ranjay Gulati and his team analyzed 4,700 public companies to determine which business strategies work for navigating recessions.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Egnyte was founded in 2007.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). To simulate text messages I have used ~3 billion of reddit comments (10 years from 2007 to 2017), downloaded from pushshift.io. So can we use it as our main datastore? Text analysis. group by a.w,